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Article Information:
Research on Performance Evaluation of Integrates with Agriculture Food Base and Supermarket
Yongqiang Chen
Corresponding Author: Yongqiang Chen
Submitted: August 31, 2014
Accepted: October 11, 2014
Published: February 05, 2015 |
Abstract:
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Performance evaluation of integrate with agriculture food base and supermarket is a research hotspot and difficulty in the theory and practice research of agriculture super-docking mode. The study presents an evaluation indicator system and a fuzzy neural network evaluation algorithm for evaluating performance of integrates with agriculture food base and supermarket. Firstly, a performance evaluation indicator system is designed through analyzing the similarities of general performance evaluation and the specialties of the evaluation of integrates with agriculture food base and supermarket; Secondly, the study integrates the advantages of fuzzy evaluation methods and BP neural network evaluation methods, designs a new algorithm structure, selects different learning methods and analyzes the algorithm performance, then presents a new fuzzy neural network evaluation algorithm; Finally, three integrates are taken for experimental examples and the results illustrate that the improved algorithm can be used for evaluating the performance of integrates with agriculture food base and supermarket feasibly and effectively and can provide reference for evaluating other complex systems.
Key words: BP neural network, fuzzy evaluation method, integrate with agriculture food base and supermarket, performance evaluation, , ,
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Cite this Reference:
Yongqiang Chen, . Research on Performance Evaluation of Integrates with Agriculture Food Base and Supermarket. Advance Journal of Food Science and Technology, (3): 210-215.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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